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1 – 10 of 17Adnan Rasul, Saravanan Karuppanan, Veeradasan Perumal, Mark Ovinis, Mohsin Iqbal and Khurshid Alam
Stress concentration factors (SCFs) are commonly used to assess the fatigue life of tubular T-joints in offshore structures. SCFs are usually estimated from parametric equations…
Abstract
Purpose
Stress concentration factors (SCFs) are commonly used to assess the fatigue life of tubular T-joints in offshore structures. SCFs are usually estimated from parametric equations derived from experimental data and finite element analysis (FEA). However, these equations provide the SCF at the crown and saddle points of tubular T-joints only, while peak SCF might occur anywhere along the brace. Using the SCF at the crown and saddle can lead to inaccurate hotspot stress and fatigue life estimates. There are no equations available for calculating the SCF along the T-joint's brace axis under in-plane and out-of-plane bending moments.
Design/methodology/approach
In this work, parametric equations for estimating SCFs are developed based on the training weights and biases of an artificial neural network (ANN), as ANNs are capable of representing complex correlations. 1,250 finite element simulations for tubular T-joints with varying dimensions subjected to in-plane bending moments and out-of-plane bending moments were conducted to obtain the corresponding SCFs for training the ANN.
Findings
The ANN was subsequently used to obtain equations to calculate the SCFs based on dimensionless parameters (α, β, γ and τ). The equations can predict the SCF around the T-joint's brace axis with an error of less than 8% and a root mean square error (RMSE) of less than 0.05.
Originality/value
Accurate SCF estimation for determining the fatigue life of offshore structures reduces the risks associated with fatigue failure while ensuring their durability and dependability. The current study provides a systematic approach for calculating the stress distribution at the weld toe and SCF in T-joints using FEA and ANN, as ANNs are better at approximating complex phenomena than typical data fitting techniques. Having a database of parametric equations enables fast estimation of SCFs, as opposed to costly testing and time-consuming FEA.
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Mohsin Iqbal, Saravanan Karuppanan, Veeradasan Perumal, Mark Ovinis, Muhammad Iqbal and Adnan Rasul
Composite materials are effective alternatives for rehabilitating critical members of offshore platforms, bridges, and other structures. The structural response of composite…
Abstract
Purpose
Composite materials are effective alternatives for rehabilitating critical members of offshore platforms, bridges, and other structures. The structural response of composite reinforcement greatly depends on the orientation of fibres in the composite material. Joints are the most critical part of tubular structures. Various existing studies have identified optimal reinforcement orientations for a single load component, but none has addressed the combined load case, even though most practical loads are multiplanar.
Design/methodology/approach
This study investigates the optimal orientation of composite reinforcement for reducing stress concentration factors (SCF) of tubular KT-joints. The joint reinforcement was modelled and simulated using ANSYS. A parametric study was carried out to determine the effect of the orientations of reinforcement in the interface region on SCF at every 15° offset along the weld toe using linear extrapolation of principal stresses. The impact of orientation for uniplanar and multiplanar loads was investigated, and a general result about optimum orientation was inferred.
Findings
It was found that the maximum decrease of SCF is achieved by orienting the fibres of composite reinforcement along the maximum SCF. Notably, the optimal direction for any load configuration was consistently orthogonal to the weld toe of the chord-brace interface. As such, unidirectional composites wrapped around the brace axis, covering both sides of the brace-chord interface, are most effective for SCF reduction.
Originality/value
The findings of this study are crucial for adequate reinforcement of tubular joints using composites, offering a broader and universally applicable optimum orientation that transcends specific joint and load configuration.
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Adnan Rasul, Saravanan Karuppanan, Veeradasan Perumal, Mark Ovinis and Mohsin Iqbal
The stress concentration factor (SCF) is commonly utilized to assess the fatigue life of a tubular T-joint in offshore structures. Parametric equations derived from experimental…
Abstract
Purpose
The stress concentration factor (SCF) is commonly utilized to assess the fatigue life of a tubular T-joint in offshore structures. Parametric equations derived from experimental testing and finite element analysis (FEA) are utilized to estimate the SCF efficiently. The mathematical equations provide the SCF at the crown and saddle of tubular T-joints for various load scenarios. Offshore structures are subjected to a wide range of stresses from all directions, and the hotspot stress might occur anywhere along the brace. It is critical to incorporate stress distribution since using the single-point SCF equation can lead to inaccurate hotspot stress and fatigue life estimates. As far as we know, there are no equations available to determine the SCF around the axis of the brace.
Design/methodology/approach
A mathematical model based on the training weights and biases of artificial neural networks (ANNs) is presented to predict SCF. 625 FEA simulations were conducted to obtain SCF data to train the ANN.
Findings
Using real data, this ANN was used to create mathematical formulas for determining the SCF. The equations can calculate the SCF with a percentage error of less than 6%.
Practical implications
Engineers in practice can use the equations to compute the hotspot stress precisely and rapidly, thereby minimizing risks linked to fatigue failure of offshore structures and assuring their longevity and reliability. Our research contributes to enhancing the safety and reliability of offshore structures by facilitating more precise assessments of stress distribution.
Originality/value
Precisely determining the SCF for the fatigue life of offshore structures reduces the potential hazards associated with fatigue failure, thereby guaranteeing their longevity and reliability. The present study offers a systematic approach for using FEA and ANN to calculate the stress distribution along the weld toe and the SCF in T-joints since ANNs are better at approximating complex phenomena than standard data fitting techniques. Once a database of parametric equations is available, it can be used to rapidly approximate the SCF, unlike experimentation, which is costly and FEA, which is time consuming.
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Tony Wijaya, Moh Nasuka and Anas Hidayat
The development of the banking industry is encouraging increasingly fierce competition. In the face of banking competition, Islamic banks need to build customer loyalty by paying…
Abstract
Purpose
The development of the banking industry is encouraging increasingly fierce competition. In the face of banking competition, Islamic banks need to build customer loyalty by paying attention to ethical aspects. Ethics has an essential role in forming and preserve relationships between companies and customers in the long term. The measurement model of salesperson ethical behavior in this study was built using the Islamic-based marketing concept. This study aims to test empirical models of Islamic ethics-based salesperson behavior in increasing customer loyalty of Islamic banks through the aspect of customer trust.
Design/methodology/approach
Research data were obtained from 165 Islamic bank customers in the Central Java, Indonesia, using the purposive sampling method. Data analysis in this study uses structural equation modeling.
Findings
The study shows that the Islamic ethics-based salesperson behavior has a positive effect on customer trust in a salesperson, customers’ trust in Islamic banks and customer loyalty. Customer trust in a salesperson has positively and significantly influenced customer trust in Islamic banks and customer loyalty. Customer trust in Islamic banks has a positive and significant effect on customer loyalty.
Practical implications
This study’s results are expected to be used to reference maintenance salesperson in Islamic banking to behave based on Islamic principles. Islamic marketing principles need to be applied through salespersons behaving realistically (al-Waqi’iyyah) and humanistic concepts (insaniyyah). The application of Islamic ethics can limit and avoid deviant behavior from salespeople that is detrimental to consumers and organizations. The behavior of salespeople based on Islamic ethics will build consumer trust in both organizations and salesperson so that it has implications for consumer loyalty.
Originality/value
This paper provides new findings to understand Islamic banking consumer loyalty that focuses on Islamic ethical salesperson behavior point of view. This paper also presents a new measurement of research variables from an Islamic perspective in examining the role of Islamic ethics-based salesperson behavior toward banking customer loyalty. This study takes the object of research in Islamic banking that has different characteristics from conventional financial institutions.
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Masudul Alam Choudhury and Mohammad Al‐Hasan Biraima
Reliance on statistical data on trade and development for Islamic countries cannot forecast the state of the future state of reconstruction of the Muslim World in this field. The…
Abstract
Reliance on statistical data on trade and development for Islamic countries cannot forecast the state of the future state of reconstruction of the Muslim World in this field. The limitation here is due to the age‐old debility of the Muslim World to project any significant economic, social and institutional transformation in the light of her own communal interest and self‐reliance. Thus the past economic data on trade and development variables show no pattern of future change. Forecasting with these data simply projects the past state of the Muslim World into the future. For these reasons, a model of reconstruction and transformation of the Muslim World on Islamic grounds necessitates reliance on normative issues. Yet these are issues that are First theoretically modelled and then empirically investigated for viability according to survey data.
Swati Anindita Sarker, Shouyang Wang, K.M. Mehedi Adnan, Prithila Pooja, Kaynath Akhi and Khadija Akter
The purpose of this study is to see the energy relation to economic growth and find a way to solve the energy crisis for Bangladesh. Bangladesh is facing a high rate depletion of…
Abstract
Purpose
The purpose of this study is to see the energy relation to economic growth and find a way to solve the energy crisis for Bangladesh. Bangladesh is facing a high rate depletion of traditional energy sources. Renewable energy technology may be an alternative solution to meeting Bangladesh’s rising energy demand. Despite huge potential, Bangladesh fails to use renewable energy sources properly due to insufficient information and technical knowledge. The present research studied the current energy condition and potentiality of renewable energy with its influence on economic growth in Bangladesh.
Design/methodology/approach
This study analyzes the relationship between renewable energy consumption and economic growth of Bangladesh for the period of 2001–2016, based on yearly data, by using multiple regression model where augmented Dickey–Fuller unit root test has been chosen for testing the viability.
Findings
The result of this study showed that economic growth of Bangladesh is influenced positively by the consumption of renewable energy.
Practical implications
In addition, SWOT analysis has also done to develop a roadmap, and suggest some policies which will be able to accomplish the country’s climbing energy demands for a short- and long-term solution.
Originality/value
This study is an original work for Bangladesh, showing the results of the relationship between renewable energy consumption and economic growth. Therefore, this research will be useful to contribute to the literature review in the near future.
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Muhammad Safdar, Nadeem Siddique, Ayesha Gulzar, Syed Adnan Adil, Haisim Yasin and Muhammad Ajmal Khan
This study aims to analyse the literature published on ChatGPT and generative pre-trained transformer (GPT) available through Scopus to identify the top countries, institutions…
Abstract
Purpose
This study aims to analyse the literature published on ChatGPT and generative pre-trained transformer (GPT) available through Scopus to identify the top countries, institutions, authors, journals and titles in terms of publishing and citations in the area.The research also intends to determine the collaborative trends among countries and authors as well as top-used keywords on the topic identified from the analysed literature.
Design/methodology/approach
The researchers searched the Scopus database to collect and assess the literature on the topic. The paper used six applications such as Biblioshiny, VosViewer, Python, MS Access and Excel and Endnote to collect and analyse the literature.
Findings
It is found that European countries such as the USA, the UK and Germany took the lead in terms of publishing and impact in the area but the USA stood first with 90 publications and 1,720 citations in this connection. Likewise, the organization “Rheinisch-Westfälische Technische Hochschule Aachen” scored the top position regarding publishing, but Open AI remained on top for getting the highest citations (1,384). Apropos, the author “Choi, Y” produced the highest number of publications. The research also shares the collaborative patterns, top journals and publications in the area, as well as the top-used keywords on the topic.
Originality/value
To the best of the authors’ knowledge, this is the first study that shares a bibliometric analysis of literature published on GPT and ChatGPT. The research not only fills the research gap on the topic but also shares implications for relevant stakeholders and future research directions for future researchers.
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Zhe Chen, Apurbo Sarkar, Xiaojing Li and Xianli Xia
Based on the survey data of 650 kiwi growers from Shaanxi and Sichuan provinces, this paper used multiple endogenous transformation regression models to explore the effect of the…
Abstract
Purpose
Based on the survey data of 650 kiwi growers from Shaanxi and Sichuan provinces, this paper used multiple endogenous transformation regression models to explore the effect of the joint adoption of green production technology on farmer’s welfare. The purpose of the study is to analyze the influence of green production technology on the yield, household income and socioeconomic characteristics of Kiwi fruit growers.
Design/methodology/approach
In the context of the study, multiple endogenous transformation model (MESR) are adopted, but self-actualization tactics were adopted to deal with the instrumental variables. The empirical data has been collected via a combined hierarchical sampling and random sampling, whereas a well-structured Likert scale questionnaire was adopted as well. The empirical data has been processed with the help of STATA 15.1 version.
Findings
The study found a positive impact of adopting green production technology. Moreover, the joint adoption of green production technology by kiwi growers has significantly increased the yield, economic values of Kiwi and household income of kiwi farmers. The households with higher asset value, better land quality, weaker credit constraints, more technical training and stronger government promotion and support from local governments are the most likely to adopt pest control technology and soil management technology jointly.
Originality/value
The prime innovation of the paper is to measure the impact of technology combination adoption on farmer’s welfare is evaluated, rather than the impact of single sub technology on farmer’s’ welfare.
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Habeebullah Zakariyah, Adnan Opeyemi Salaudeen, Anwar Hasan Abdullah Othman and Romzie Rosman
The popularity of financial technology (fintech) is rising in society due to fintech's direct benefits to users. This digital-based approach is one of the outputs of the…
Abstract
Purpose
The popularity of financial technology (fintech) is rising in society due to fintech's direct benefits to users. This digital-based approach is one of the outputs of the Industrial Revolution 4.0, which transformed the path of human history and resulted in the development of digital transformation strategy innovation, more commonly referred to as digitalisation. Previous literature has predicted that integrating fintech into waqf management will facilitate fintech's growth and expand waqf outreach in Malaysia. Therefore, this paper aims to examine the impact of “Industry 4.0” on the expansion of fintech into cash waqf in Malaysia.
Design/methodology/approach
This study uses Rogers' (2003) diffusion of innovation (DOI) model. In addition, a quantitative approach based on structural equation modelling (SEM) was utilised to analyse the relationship between awareness, knowledge, relative advantage, social norms, perceived trust and fintech adoption in waqf institutions by using the tool Analysis of Moment Structures (AMOS) version 23.0 with maximum likelihood estimation.
Findings
The overall indicate that perceived trust and social norms significantly influence the adoption of fintech by Malaysian waqf. At the same time, other factors such as awareness, relative advantage and knowledge do not appear to significantly influence the adoption of fintech amongst Malaysian waqf institutions.
Research limitations/implications
This study contributes significantly to the current literature concerning the Fourth Industrial Revolution and the wave of technologies. In addition, this study supports relevant theories, including DOI and other technology adoption theories. Aside from this, the study provides empirical contributions to waqf management regarding collecting and distributing waqf, improving the level of regulation of the waqf institutions and enhancing trust between donors, waqf management and beneficiaries. This study is amongst the first in the area of waqf that focus on Malaysian waqf intitutions.
Originality/value
This is important for policy development to support the utilisation of fintech for waqf institutions, which leads to more transparency and efficiency.
Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-04-2022-0264
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